Algorithms and Heuristics for Data Mining in Sensor Networks

Lieferzeit: Lieferbar innerhalb 14 Tagen

55,90 

ISBN: 3330025212
ISBN 13: 9783330025219
Autor: Vasilev, Vladislav
Verlag: LAP LAMBERT Academic Publishing
Umfang: 148 S.
Erscheinungsdatum: 14.01.2017
Auflage: 1/2017
Format: 1 x 22 x 15
Gewicht: 238 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 1123701 Kategorie:

Beschreibung

The author defines the term moral in the context on sensor networks through the definition of Index Invariant Graphs and Index Invariant Trees. The methods build on these terms are closely related to the Hidden Conditional Random Field Model. The novel models are then compared with other graph clustering methods, namely Girvan-Newman, Karger's Algorith and Spectral Clustering. The book requires no initial understanding in the field of graph clustering. The book can be used as an introduction to time dynamic sensor networks.

Autorenporträt

Vladislav Georgiev Vasilev has a PhD in communication networks from the Technical University Sofia. The author also has diverse practical experience with many graph clustering tasks.

Herstellerkennzeichnung:


OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD

E-Mail: info@omniscriptum.com

Das könnte Ihnen auch gefallen …